annotate python/prediction.py @ 940:d8ab183a7351

verified motion prediction with prototypes at constant speed (test needed)
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 18 Jul 2017 13:46:17 -0400
parents a2f3f3ca241e
children ab13aaf41432
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1 #! /usr/bin/env python
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2 '''Library for motion prediction methods'''
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4 import moving
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5 from utils import LCSS
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6
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7 import math, random
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8 import numpy as np
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9 from multiprocessing import Pool
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12 class PredictedTrajectory(object):
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13 '''Class for predicted trajectories with lazy evaluation
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14 if the predicted position has not been already computed, compute it
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16 it should also have a probability'''
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18 def __init__(self):
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19 self.probability = 0.
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20 self.predictedPositions = {}
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21 self.predictedSpeedOrientations = {}
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22 #self.collisionPoints = {}
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23 #self.crossingZones = {}
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25 def predictPosition(self, nTimeSteps):
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26 if nTimeSteps > 0 and not nTimeSteps in self.predictedPositions.keys():
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27 self.predictPosition(nTimeSteps-1)
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28 self.predictedPositions[nTimeSteps], self.predictedSpeedOrientations[nTimeSteps] = moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], self.getControl(), self.maxSpeed)
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29 return self.predictedPositions[nTimeSteps]
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31 def getPredictedTrajectory(self):
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32 return moving.Trajectory.fromPointList(self.predictedPositions.values())
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33
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34 def getPredictedSpeeds(self):
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35 return [so.norm for so in self.predictedSpeedOrientations.values()]
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36
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37 def plot(self, options = '', withOrigin = False, timeStep = 1, **kwargs):
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38 self.getPredictedTrajectory().plot(options, withOrigin, timeStep, **kwargs)
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40 class PredictedTrajectoryConstant(PredictedTrajectory):
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41 '''Predicted trajectory at constant speed or acceleration
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42 TODO generalize by passing a series of velocities/accelerations'''
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43
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44 def __init__(self, initialPosition, initialVelocity, control = moving.NormAngle(0,0), probability = 1., maxSpeed = None):
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45 self.control = control
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46 self.maxSpeed = maxSpeed
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47 self.probability = probability
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48 self.predictedPositions = {0: initialPosition}
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49 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)}
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50
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51 def getControl(self):
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52 return self.control
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53
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54 def findNearestParams(initialPosition, prototypeTrajectory):
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55 ''' nearest parameters are the index of minDistance and the orientation '''
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56 distances=[]
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57 for position in prototypeTrajectory.positions:
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58 distances.append(moving.Point.distanceNorm2(initialPosition, position))
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59 minDistanceIndex= np.argmin(distances)
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60 return minDistanceIndex, moving.NormAngle.fromPoint(prototypeTrajectory.velocities[minDistanceIndex]).angle
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61
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62 class PredictedTrajectoryPrototype(PredictedTrajectory):
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63 '''Predicted trajectory that follows a prototype trajectory
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64 The prototype is in the format of a moving.Trajectory: it could be
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65 1. an observed trajectory (extracted from video)
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66 2. a generic polyline (eg the road centerline) that a vehicle is supposed to follow
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67
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68 Prediction can be done
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69 1. at constant speed (the instantaneous user speed)
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70 2. following the trajectory path, at the speed of the user
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71 (applying a constant ratio equal
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72 to the ratio of the user instantaneous speed and the trajectory closest speed)'''
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74 def __init__(self, initialPosition, initialVelocity, prototype, constantSpeed = False, probability = 1.):
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75 ''' prototype is a MovingObject
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76
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77 Prediction at constant speed will not work for unrealistic trajectories
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78 that do not follow a slowly changing velocity (eg moving object trajectories,
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79 but is good for realistic motion (eg features)'''
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80 self.prototype = prototype
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81 self.constantSpeed = constantSpeed
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82 self.probability = probability
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83 self.predictedPositions = {0: initialPosition}
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84 self.closestPointIdx = prototype.getPositions().getClosestPoint(initialPosition)
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85 self.deltaPosition = initialPosition-prototype.getPositionAt(self.closestPointIdx)
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86 self.initialSpeed = initialVelocity.norm2()
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87 #self.predictedSpeedOrientations = {0: moving.NormAngle(moving.NormAngle.fromPoint(initialVelocity).norm, findNearestParams(initialPosition,prototype)[1])}#moving.NormAngle.fromPoint(initialVelocity)}
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88
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89 def predictPosition(self, nTimeSteps):
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90 if nTimeSteps > 0 and not nTimeSteps in self.predictedPositions.keys():
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91 if self.constantSpeed:
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92 # calculate cumulative distance
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93 traj = self.prototype.getPositions()
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94 traveledDistance = nTimeSteps*self.initialSpeed + traj.getCumulativeDistance(self.closestPointIdx)
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95 i = self.closestPointIdx
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96 while i < traj.length() and traj.getCumulativeDistance(i) < traveledDistance:
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97 i += 1
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98 if i == traj.length():
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99 v = self.prototype.getVelocityAt(-1)
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100 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[i-1]+v*((traveledDistance-traj.getCumulativeDistance(i-1))/v.norm2())
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101 else:
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102 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[i-1]+(traj[i]-traj[i-1])*((traveledDistance-traj.getCumulativeDistance(i-1))/traj.getDistance(i-1))
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103 else: # see c++ code, calculate ratio
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104 speedNorm= self.predictedSpeedOrientations[0].norm
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105 instant=findNearestParams(self.predictedPositions[0],self.prototype)[0]
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106 prototypeSpeeds= self.prototype.getSpeeds()[instant:]
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107 ratio=float(speedNorm)/prototypeSpeeds[0]
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108 resampledSpeeds=[sp*ratio for sp in prototypeSpeeds]
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109 anglePrototype = findNearestParams(self.predictedPositions[nTimeSteps-1],self.prototype)[1]
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110 if nTimeSteps<len(resampledSpeeds):
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111 self.predictedSpeedOrientations[nTimeSteps]= moving.NormAngle(resampledSpeeds[nTimeSteps], anglePrototype)
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112 self.predictedPositions[nTimeSteps],tmp= moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], moving.NormAngle(0,0), None)
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113 else:
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114 self.predictedSpeedOrientations[nTimeSteps]= moving.NormAngle(resampledSpeeds[-1], anglePrototype)
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115 self.predictedPositions[nTimeSteps],tmp= moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], moving.NormAngle(0,0), None)
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116
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117 return self.predictedPositions[nTimeSteps]
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118
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119 class PredictedTrajectoryRandomControl(PredictedTrajectory):
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120 '''Random vehicle control: suitable for normal adaptation'''
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121 def __init__(self, initialPosition, initialVelocity, accelerationDistribution, steeringDistribution, probability = 1., maxSpeed = None):
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122 '''Constructor
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123 accelerationDistribution and steeringDistribution are distributions
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124 that return random numbers drawn from them'''
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125 self.accelerationDistribution = accelerationDistribution
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126 self.steeringDistribution = steeringDistribution
250
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127 self.maxSpeed = maxSpeed
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128 self.probability = probability
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129 self.predictedPositions = {0: initialPosition}
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130 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)}
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131
256
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132 def getControl(self):
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133 return moving.NormAngle(self.accelerationDistribution(),self.steeringDistribution())
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134
359
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135 class SafetyPoint(moving.Point):
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136 '''Can represent a collision point or crossing zone
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137 with respective safety indicator, TTC or pPET'''
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138 def __init__(self, p, probability = 1., indicator = -1):
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139 self.x = p.x
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140 self.y = p.y
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141 self.probability = probability
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142 self.indicator = indicator
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143
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144 def __str__(self):
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145 return '{0} {1} {2} {3}'.format(self.x, self.y, self.probability, self.indicator)
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146
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147 @staticmethod
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148 def save(out, points, predictionInstant, objNum1, objNum2):
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149 for p in points:
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150 out.write('{0} {1} {2} {3}\n'.format(objNum1, objNum2, predictionInstant, p))
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151
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152 @staticmethod
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153 def computeExpectedIndicator(points):
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154 return np.sum([p.indicator*p.probability for p in points])/sum([p.probability for p in points])
359
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155
358
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156 def computeCollisionTime(predictedTrajectory1, predictedTrajectory2, collisionDistanceThreshold, timeHorizon):
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157 '''Computes the first instant
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158 at which two predicted trajectories are within some distance threshold
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159 Computes all the times including timeHorizon
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160
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161 User has to check the first variable collision to know about a collision'''
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162 t = 1
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163 p1 = predictedTrajectory1.predictPosition(t)
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164 p2 = predictedTrajectory2.predictPosition(t)
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165 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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166 while t < timeHorizon and not collision:
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167 t += 1
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168 p1 = predictedTrajectory1.predictPosition(t)
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169 p2 = predictedTrajectory2.predictPosition(t)
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170 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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171 return collision, t, p1, p2
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172
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173 def savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon):
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174 from matplotlib.pyplot import figure, axis, title, close, savefig
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175 figure()
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176 for et in predictedTrajectories1:
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177 et.predictPosition(int(np.round(timeHorizon)))
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178 et.plot('rx')
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179
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180 for et in predictedTrajectories2:
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181 et.predictPosition(int(np.round(timeHorizon)))
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182 et.plot('bx')
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183 obj1.plot('r')
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184 obj2.plot('b')
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185 title('instant {0}'.format(currentInstant))
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186 axis('equal')
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187 savefig('predicted-trajectories-t-{0}.png'.format(currentInstant))
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188 close()
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189
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190 def calculateProbability(nMatching,similarity,objects):
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191 sumFrequencies=sum([nMatching[p] for p in similarity.keys()])
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192 prototypeProbability={}
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193 for i in similarity.keys():
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194 prototypeProbability[i]= similarity[i] * float(nMatching[i])/sumFrequencies
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195 sumProbabilities= sum([prototypeProbability[p] for p in prototypeProbability.keys()])
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196 probabilities={}
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197 for i in prototypeProbability.keys():
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198 probabilities[objects[i]]= float(prototypeProbability[i])/sumProbabilities
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199 return probabilities
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200
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201 def findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,spatialThreshold=1.0, delta=180):
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202 ''' behaviour prediction first step'''
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203 if route[0] not in noiseEntryNums:
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204 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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205 elif route[1] not in noiseExitNums:
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206 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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207 else:
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208 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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209 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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210 similarity={}
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211 for y in prototypesRoutes:
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212 if y in prototypes.keys():
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213 prototypesIDs=prototypes[y]
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214 for x in prototypesIDs:
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215 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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216 if s >= minSimilarity:
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217 similarity[x]=s
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218
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219 if mostMatched==None:
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220 probabilities= calculateProbability(nMatching,similarity,objects)
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221 return probabilities
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222 else:
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223 mostMatchedValues=sorted(similarity.values(),reverse=True)[:mostMatched]
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224 keys=[k for k in similarity.keys() if similarity[k] in mostMatchedValues]
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225 newSimilarity={}
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226 for i in keys:
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227 newSimilarity[i]=similarity[i]
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228 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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229 return probabilities
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230
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231 def findPrototypesSpeed(prototypes,secondStepPrototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,useDestination=True,spatialThreshold=1.0, delta=180):
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232 if useDestination:
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233 prototypesRoutes=[route]
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234 else:
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235 if route[0] not in noiseEntryNums:
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236 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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237 elif route[1] not in noiseExitNums:
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238 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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239 else:
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240 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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241 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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242 similarity={}
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243 for y in prototypesRoutes:
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244 if y in prototypes.keys():
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245 prototypesIDs=prototypes[y]
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246 for x in prototypesIDs:
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247 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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248 if s >= minSimilarity:
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249 similarity[x]=s
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250
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251 newSimilarity={}
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252 for i in similarity.keys():
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253 if i in secondStepPrototypes.keys():
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254 for j in secondStepPrototypes[i]:
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255 newSimilarity[j]=similarity[i]
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256 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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257 return probabilities
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258
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259 def getPrototypeTrajectory(obj,route,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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260 partialInterval=moving.Interval(obj.getFirstInstant(),currentInstant)
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261 partialObjPositions= obj.getObjectInTimeInterval(partialInterval).positions
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262 if useSpeedPrototype:
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263 prototypeTrajectories=findPrototypesSpeed(prototypes,secondStepPrototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination)
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264 else:
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265 prototypeTrajectories=findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched)
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266 return prototypeTrajectories
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267
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268 def computeCrossingsCollisionsAtInstant(predictionParams,currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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269 '''returns the lists of collision points and crossing zones'''
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270 if usePrototypes:
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271 prototypeTrajectories1 = getPrototypeTrajectory(obj1,route1,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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272 prototypeTrajectories2 = getPrototypeTrajectory(obj2,route2,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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273 predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant,prototypeTrajectories1)
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274 predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant,prototypeTrajectories2)
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275 else:
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276 predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant)
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277 predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant)
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278
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279 collisionPoints = []
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280 crossingZones = []
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281 for et1 in predictedTrajectories1:
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282 for et2 in predictedTrajectories2:
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283 collision, t, p1, p2 = computeCollisionTime(et1, et2, collisionDistanceThreshold, timeHorizon)
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284
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285 if collision:
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286 collisionPoints.append(SafetyPoint((p1+p2)*0.5, et1.probability*et2.probability, t))
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287 elif computeCZ: # check if there is a crossing zone
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288 # TODO? zone should be around the points at which the traj are the closest
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289 # look for CZ at different times, otherwise it would be a collision
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290 # an approximation would be to look for close points at different times, ie the complementary of collision points
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291 cz = None
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292 t1 = 0
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293 while not cz and t1 < timeHorizon: # t1 <= timeHorizon-1
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294 t2 = 0
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295 while not cz and t2 < timeHorizon:
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296 #if (et1.predictPosition(t1)-et2.predictPosition(t2)).norm2() < collisionDistanceThreshold:
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297 # cz = (et1.predictPosition(t1)+et2.predictPosition(t2)).multiply(0.5)
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298 cz = moving.segmentIntersection(et1.predictPosition(t1), et1.predictPosition(t1+1), et2.predictPosition(t2), et2.predictPosition(t2+1))
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299 if cz is not None:
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300 deltaV= (et1.predictPosition(t1)- et1.predictPosition(t1+1) - et2.predictPosition(t2)+ et2.predictPosition(t2+1)).norm2()
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301 crossingZones.append(SafetyPoint(cz, et1.probability*et2.probability, abs(t1-t2)-(float(collisionDistanceThreshold)/deltaV)))
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302 t2 += 1
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303 t1 += 1
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304
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305 if debug:
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306 savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon)
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307
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308 return currentInstant, collisionPoints, crossingZones
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309
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310
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311 class PredictionParameters(object):
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312 def __init__(self, name, maxSpeed):
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313 self.name = name
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314 self.maxSpeed = maxSpeed
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315
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316 def __str__(self):
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317 return '{0} {1}'.format(self.name, self.maxSpeed)
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318
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319 def generatePredictedTrajectories(self, obj, instant):
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320 return []
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321
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322 def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False,usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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323 return computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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324
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325 def computeCrossingsCollisions(self, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, timeInterval = None, nProcesses = 1,usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True,acceptPartialLength=30, step=1):
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326 #def computeCrossingsCollisions(predictionParams, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, timeInterval = None,nProcesses = 1, usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True,acceptPartialLength=30, step=1):
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327 '''Computes all crossing and collision points at each common instant for two road users. '''
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diff changeset
328 collisionPoints={}
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
329 crossingZones={}
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
330 if timeInterval:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
331 commonTimeInterval = timeInterval
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
332 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
333 commonTimeInterval = obj1.commonTimeInterval(obj2)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
334 if nProcesses == 1:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
335 if usePrototypes:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
336 firstInstant= next( (x for x in xrange(commonTimeInterval.first,commonTimeInterval.last) if x-obj1.getFirstInstant() >= acceptPartialLength and x-obj2.getFirstInstant() >= acceptPartialLength), commonTimeInterval.last)
692
9a258687af4c corrected some errors for ttc
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 665
diff changeset
337 commonTimeIntervalList1= range(firstInstant,commonTimeInterval.last-1) # do not look at the 1 last position/velocities, often with errors
9a258687af4c corrected some errors for ttc
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 665
diff changeset
338 commonTimeIntervalList2= range(firstInstant,commonTimeInterval.last-1,step) # do not look at the 1 last position/velocities, often with errors
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
339 for i in commonTimeIntervalList2:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
340 i, cp, cz = self.computeCrossingsCollisionsAtInstant(i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
341 if len(cp) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
342 collisionPoints[i] = cp
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
343 if len(cz) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
344 crossingZones[i] = cz
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
345 if collisionPoints!={} or crossingZones!={}:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
346 for i in commonTimeIntervalList1:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
347 if i not in commonTimeIntervalList2:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
348 i, cp, cz = self.computeCrossingsCollisionsAtInstant(i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
349 if len(cp) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
350 collisionPoints[i] = cp
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
351 if len(cz) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
352 crossingZones[i] = cz
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
353 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
354 for i in list(commonTimeInterval)[:-1]: # do not look at the 1 last position/velocities, often with errors
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
355 i, cp, cz = self.computeCrossingsCollisionsAtInstant(i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
356 if len(cp) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
357 collisionPoints[i] = cp
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
358 if len(cz) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
359 crossingZones[i] = cz
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
360 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
361 pool = Pool(processes = nProcesses)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
362 jobs = [pool.apply_async(computeCrossingsCollisionsAtInstant, args = (self, i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)) for i in list(commonTimeInterval)[:-1]]
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
363 #results = [j.get() for j in jobs]
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
364 #results.sort()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
365 for j in jobs:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
366 i, cp, cz = j.get()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
367 #if len(cp) != 0 or len(cz) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
368 if len(cp) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
369 collisionPoints[i] = cp
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
370 if len(cz) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
371 crossingZones[i] = cz
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
372 pool.close()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
373 return collisionPoints, crossingZones
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
374 #return computeCrossingsCollisions(self, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug, timeInterval, nProcesses,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype,acceptPartialLength, step)
358
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
375
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
376 def computeCollisionProbability(self, obj1, obj2, collisionDistanceThreshold, timeHorizon, debug = False, timeInterval = None):
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
377 '''Computes only collision probabilities
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
378 Returns for each instant the collision probability and number of samples drawn'''
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
379 collisionProbabilities = {}
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
380 if timeInterval:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
381 commonTimeInterval = timeInterval
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
382 else:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
383 commonTimeInterval = obj1.commonTimeInterval(obj2)
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
384 for i in list(commonTimeInterval)[:-1]:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
385 nCollisions = 0
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
386 predictedTrajectories1 = self.generatePredictedTrajectories(obj1, i)
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
387 predictedTrajectories2 = self.generatePredictedTrajectories(obj2, i)
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
388 for et1 in predictedTrajectories1:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
389 for et2 in predictedTrajectories2:
662
72174e66aba5 corrected bug that increased TTC by 1 frame and structure to store collision points and crossing zones
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 661
diff changeset
390 collision, t, p1, p2 = computeCollisionTime(et1, et2, collisionDistanceThreshold, timeHorizon)
72174e66aba5 corrected bug that increased TTC by 1 frame and structure to store collision points and crossing zones
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 661
diff changeset
391 if collision:
358
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
392 nCollisions += 1
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
393 # take into account probabilities ??
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
394 nSamples = float(len(predictedTrajectories1)*len(predictedTrajectories2))
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
395 collisionProbabilities[i] = [nSamples, float(nCollisions)/nSamples]
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
396
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
397 if debug:
557
b91f33e098ee refactored some more code in compute crossing and collisions (parallel code works)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 556
diff changeset
398 savePredictedTrajectoriesFigure(i, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon)
358
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
399
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
400 return collisionProbabilities
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
401
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
402 class ConstantPredictionParameters(PredictionParameters):
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
403 def __init__(self, maxSpeed):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
404 PredictionParameters.__init__(self, 'constant velocity', maxSpeed)
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
405
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
406 def generatePredictedTrajectories(self, obj, instant):
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
407 return [PredictedTrajectoryConstant(obj.getPositionAtInstant(instant), obj.getVelocityAtInstant(instant), maxSpeed = self.maxSpeed)]
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
408
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
409 class NormalAdaptationPredictionParameters(PredictionParameters):
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
410 def __init__(self, maxSpeed, nPredictedTrajectories, accelerationDistribution, steeringDistribution, useFeatures = False):
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
411 '''An example of acceleration and steering distributions is
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
412 lambda: random.triangular(-self.maxAcceleration, self.maxAcceleration, 0.)
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
413 '''
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
414 if useFeatures:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
415 name = 'point set normal adaptation'
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
416 else:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
417 name = 'normal adaptation'
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
418 PredictionParameters.__init__(self, name, maxSpeed)
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
419 self.nPredictedTrajectories = nPredictedTrajectories
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
420 self.useFeatures = useFeatures
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
421 self.accelerationDistribution = accelerationDistribution
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
422 self.steeringDistribution = steeringDistribution
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
423
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
424 def __str__(self):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
425 return PredictionParameters.__str__(self)+' {0} {1} {2}'.format(self.nPredictedTrajectories,
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
426 self.maxAcceleration,
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
427 self.maxSteering)
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
428
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
429 def generatePredictedTrajectories(self, obj, instant):
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
430 predictedTrajectories = []
860
07c5eab11eba fixing bug, thanks to Ryan Louie <Ryan.Louie@students.olin.edu>
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 826
diff changeset
431 if self.useFeatures and obj.hasFeatures():
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
432 features = [f for f in obj.getFeatures() if f.existsAtInstant(instant)]
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
433 positions = [f.getPositionAtInstant(instant) for f in features]
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
434 velocities = [f.getVelocityAtInstant(instant) for f in features]
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
435 else:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
436 positions = [obj.getPositionAtInstant(instant)]
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
437 velocities = [obj.getVelocityAtInstant(instant)]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
438 probability = 1./float(len(positions)*self.nPredictedTrajectories)
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
439 for i in xrange(self.nPredictedTrajectories):
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
440 for initialPosition,initialVelocity in zip(positions, velocities):
466
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
441 predictedTrajectories.append(PredictedTrajectoryRandomControl(initialPosition,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
442 initialVelocity,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
443 self.accelerationDistribution,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
444 self.steeringDistribution,
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
445 probability,
466
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
446 maxSpeed = self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
447 return predictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
448
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
449 class PointSetPredictionParameters(PredictionParameters):
269
a9988971aac8 removed legacy code + tweaks
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 268
diff changeset
450 # todo generate several trajectories with normal adaptatoins from each position (feature)
489
000bddf84ad0 corrected bugs in safety analysis
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 484
diff changeset
451 def __init__(self, maxSpeed):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
452 PredictionParameters.__init__(self, 'point set', maxSpeed)
489
000bddf84ad0 corrected bugs in safety analysis
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 484
diff changeset
453 #self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
454
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
455 def generatePredictedTrajectories(self, obj, instant):
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
456 predictedTrajectories = []
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
457 if obj.hasFeatures():
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
458 features = [f for f in obj.getFeatures() if f.existsAtInstant(instant)]
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
459 positions = [f.getPositionAtInstant(instant) for f in features]
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
460 velocities = [f.getVelocityAtInstant(instant) for f in features]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
461 probability = 1./float(len(positions))
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
462 for initialPosition,initialVelocity in zip(positions, velocities):
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
463 predictedTrajectories.append(PredictedTrajectoryConstant(initialPosition, initialVelocity, probability = probability, maxSpeed = self.maxSpeed))
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
464 return predictedTrajectories
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
465 else:
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
466 print('Object {} has no features'.format(obj.getNum()))
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
467 return None
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
468
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
469 class EvasiveActionPredictionParameters(PredictionParameters):
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
470 def __init__(self, maxSpeed, nPredictedTrajectories, accelerationDistribution, steeringDistribution, useFeatures = False):
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
471 '''Suggested acceleration distribution may not be symmetric, eg
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
472 lambda: random.triangular(self.minAcceleration, self.maxAcceleration, 0.)'''
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
473
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
474 if useFeatures:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
475 name = 'point set evasive action'
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
476 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
477 name = 'evasive action'
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
478 PredictionParameters.__init__(self, name, maxSpeed)
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
479 self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
480 self.useFeatures = useFeatures
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
481 self.accelerationDistribution = accelerationDistribution
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
482 self.steeringDistribution = steeringDistribution
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
483
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
484 def __str__(self):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
485 return PredictionParameters.__str__(self)+' {0} {1} {2} {3}'.format(self.nPredictedTrajectories, self.minAcceleration, self.maxAcceleration, self.maxSteering)
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
486
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
487 def generatePredictedTrajectories(self, obj, instant):
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
488 predictedTrajectories = []
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
489 if self.useFeatures and obj.hasFeatures():
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
490 features = [f for f in obj.getFeatures() if f.existsAtInstant(instant)]
267
32e88b513f5c added code to compute probability of collision
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 266
diff changeset
491 positions = [f.getPositionAtInstant(instant) for f in features]
32e88b513f5c added code to compute probability of collision
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 266
diff changeset
492 velocities = [f.getVelocityAtInstant(instant) for f in features]
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
493 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
494 positions = [obj.getPositionAtInstant(instant)]
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
495 velocities = [obj.getVelocityAtInstant(instant)]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
496 probability = 1./float(self.nPredictedTrajectories)
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
497 for i in xrange(self.nPredictedTrajectories):
267
32e88b513f5c added code to compute probability of collision
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 266
diff changeset
498 for initialPosition,initialVelocity in zip(positions, velocities):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
499 predictedTrajectories.append(PredictedTrajectoryConstant(initialPosition,
350
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
500 initialVelocity,
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
501 moving.NormAngle(self.accelerationDistribution(),
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
502 self.steeringDistribution()),
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
503 probability,
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
504 self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
505 return predictedTrajectories
257
9281878ff19e untested collision/crossing computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 256
diff changeset
506
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
507
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
508 class CVDirectPredictionParameters(PredictionParameters):
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
509 '''Prediction parameters of prediction at constant velocity
698
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
510 using direct computation of the intersecting point
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
511 Warning: the computed time to collision may be higher than timeHorizon (not used)'''
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
512
387
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
513 def __init__(self):
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
514 PredictionParameters.__init__(self, 'constant velocity (direct computation)', None)
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
515
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
516 def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, *kwargs):
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
517 collisionPoints = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
518 crossingZones = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
519
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
520 p1 = obj1.getPositionAtInstant(currentInstant)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
521 p2 = obj2.getPositionAtInstant(currentInstant)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
522 if (p1-p2).norm2() <= collisionDistanceThreshold:
940
d8ab183a7351 verified motion prediction with prototypes at constant speed (test needed)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 939
diff changeset
523 collisionPoints = [SafetyPoint((p1+p1)*0.5, 1., 0.)]
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
524 else:
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
525 v1 = obj1.getVelocityAtInstant(currentInstant)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
526 v2 = obj2.getVelocityAtInstant(currentInstant)
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
527 intersection = moving.intersection(p1, p1+v1, p2, p2+v2)
258
d90be3c02267 reasonably efficient computation of collision points and crossing zones
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 257
diff changeset
528
636
3058e00887bc removed all issues because of tests with None, using is instead of == or !=
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 630
diff changeset
529 if intersection is not None:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
530 dp1 = intersection-p1
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
531 dp2 = intersection-p2
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
532 dot1 = moving.Point.dot(dp1, v1)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
533 dot2 = moving.Point.dot(dp2, v2)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
534 #print dot1, dot2
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
535 # (computeCZ and (dot1 > 0 or dot2 > 0)) or (
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
536 if (computeCZ and (dot1 > 0 or dot2 > 0)) or (dot1 > 0 and dot2 > 0): # if the road users are moving towards the intersection or if computing pPET
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
537 dist1 = dp1.norm2()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
538 dist2 = dp2.norm2()
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
539 s1 = math.copysign(v1.norm2(), dot1)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
540 s2 = math.copysign(v2.norm2(), dot2)
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
541 halfCollisionDistanceThreshold = collisionDistanceThreshold/2.
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
542 timeInterval1 = moving.TimeInterval(max(0,dist1-halfCollisionDistanceThreshold)/s1, (dist1+halfCollisionDistanceThreshold)/s1)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
543 timeInterval2 = moving.TimeInterval(max(0,dist2-halfCollisionDistanceThreshold)/s2, (dist2+halfCollisionDistanceThreshold)/s2)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
544 collisionTimeInterval = moving.TimeInterval.intersection(timeInterval1, timeInterval2)
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
545
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
546 if collisionTimeInterval.empty():
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
547 if computeCZ:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
548 crossingZones = [SafetyPoint(intersection, 1., timeInterval1.distance(timeInterval2))]
387
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
549 else:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
550 collisionPoints = [SafetyPoint(intersection, 1., collisionTimeInterval.center())]
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
551
636
3058e00887bc removed all issues because of tests with None, using is instead of == or !=
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 630
diff changeset
552 if debug and intersection is not None:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
553 from matplotlib.pyplot import plot, figure, axis, title
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
554 figure()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
555 plot([p1.x, intersection.x], [p1.y, intersection.y], 'r')
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
556 plot([p2.x, intersection.x], [p2.y, intersection.y], 'b')
515
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557 intersection.plot()
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558 obj1.plot('r')
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559 obj2.plot('b')
359
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560 title('instant {0}'.format(currentInstant))
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561 axis('equal')
289
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562
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
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563 return currentInstant, collisionPoints, crossingZones
260
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564
464
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565 class CVExactPredictionParameters(PredictionParameters):
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566 '''Prediction parameters of prediction at constant velocity
698
8d99a9e16644 added clarification comments
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567 using direct computation of the intersecting point (solving the equation)
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568 Warning: the computed time to collision may be higher than timeHorizon (not used)'''
464
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569
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570 def __init__(self):
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571 PredictionParameters.__init__(self, 'constant velocity (direct exact computation)', None)
359
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572
701
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573 def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, *kwargs):
881
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574 'TODO compute pPET'
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575 collisionPoints = []
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576 crossingZones = []
269
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577
464
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578 p1 = obj1.getPositionAtInstant(currentInstant)
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diff changeset
579 p2 = obj2.getPositionAtInstant(currentInstant)
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580 v1 = obj1.getVelocityAtInstant(currentInstant)
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581 v2 = obj2.getVelocityAtInstant(currentInstant)
630
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diff changeset
582 intersection = moving.intersection(p1, p1+v1, p2, p2+v2)
484
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583
636
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584 if intersection is not None:
484
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585 ttc = moving.Point.timeToCollision(p1, p2, v1, v2, collisionDistanceThreshold)
881
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586 if ttc is not None:
888
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diff changeset
587 collisionPoints = [SafetyPoint(intersection, 1., ttc)]
484
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588 else:
881
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589 pass # compute pPET
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590
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diff changeset
591 return currentInstant, collisionPoints, crossingZones
260
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parents: 259
diff changeset
592
357
e5fe0e6d48a1 corrected bug computing TTC (resp. pPET) if there is no collision point (resp. crossing zone)
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parents: 355
diff changeset
593 ####
e5fe0e6d48a1 corrected bug computing TTC (resp. pPET) if there is no collision point (resp. crossing zone)
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parents: 355
diff changeset
594 # Other Methods
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parents: 355
diff changeset
595 ####
619
dc2d0a0d7fe1 merged code from Mohamed Gomaa Mohamed for the use of points of interests in mation pattern learning and motion prediction (TRB 2015)
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parents: 613
diff changeset
596 class PrototypePredictionParameters(PredictionParameters):
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diff changeset
597 def __init__(self, maxSpeed, nPredictedTrajectories, constantSpeed = True):
607
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diff changeset
598 name = 'prototype'
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diff changeset
599 PredictionParameters.__init__(self, name, maxSpeed)
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diff changeset
600 self.nPredictedTrajectories = nPredictedTrajectories
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diff changeset
601 self.constantSpeed = constantSpeed
607
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diff changeset
602
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diff changeset
603 def generatePredictedTrajectories(self, obj, instant,prototypeTrajectories):
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diff changeset
604 predictedTrajectories = []
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diff changeset
605 initialPosition = obj.getPositionAtInstant(instant)
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diff changeset
606 initialVelocity = obj.getVelocityAtInstant(instant)
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MohamedGomaa
parents: 571
diff changeset
607 for prototypeTraj in prototypeTrajectories.keys():
619
dc2d0a0d7fe1 merged code from Mohamed Gomaa Mohamed for the use of points of interests in mation pattern learning and motion prediction (TRB 2015)
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parents: 613
diff changeset
608 predictedTrajectories.append(PredictedTrajectoryPrototype(initialPosition, initialVelocity, prototypeTraj, constantSpeed = self.constantSpeed, probability = prototypeTrajectories[prototypeTraj]))
607
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MohamedGomaa
parents: 571
diff changeset
609 return predictedTrajectories
243
e0988a8ace0c started adapting and moving to other modules Mohamed's work
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 240
diff changeset
610
255
13ec22bec5d4 corrected typos and bugs and added a test
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parents: 250
diff changeset
611 if __name__ == "__main__":
13ec22bec5d4 corrected typos and bugs and added a test
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parents: 250
diff changeset
612 import doctest
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diff changeset
613 import unittest
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
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parents: 270
diff changeset
614 suite = doctest.DocFileSuite('tests/prediction.txt')
255
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diff changeset
615 #suite = doctest.DocTestSuite()
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diff changeset
616 unittest.TextTestRunner().run(suite)
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diff changeset
617 #doctest.testmod()
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diff changeset
618 #doctest.testfile("example.txt")
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diff changeset
619